We are now looking for a Senior Hardware Security Architect:
NVIDIA is seeking an experienced hardware security architect interested in a chance to define, craft, and guide implementation of security architecture for our innovative SoCs and GPUs. You will be expected to take a strong hands-on role, working with diverse teams across both NVIDIA and external partners to meet security requirements for our mobile, automotive, gaming and server platforms.
What you'll be doing:
- Collaborate across the company to guide the direction of platform security and develop a long-term security roadmap for our products, working with hardware, software, research and marketing teams.
- Research, design, and develop architecture solutions meeting internal and external security requirements and standards.
- Review architectural, microarchitectural and verification specifications published by internal teams to ensure all IPs comply with platform security requirements.
- Work with customers, partners to identify and address security issues and threats.
What we need to see:
- BS, MS, PhD (or equivalent experience) in Electrical Engineering, Computer Science or Computer Engineering.
- 8+ years of meaningful relevant work or research experience.
- Experience with the ASIC design process and architecture of large SoCs or GPUs.
- Programming and debugging fundamentals across languages such as: C/C++, Verilog, ARM assembly and Python/Perl scripting
- The ability to work in a dynamic customer focused team with strong interpersonal skills are required.
- Experience with / exposure to:
- System architecture for Gaming, Automotive, Server or AI platforms and Cryptography: algorithms, standards, implementation and application
- SoC security architecture and security fundamentals including secure boot or measured boot and ARM or RISCV CPU architectures and related security functionality
- Security mitigations against physical attacks including fault injection and side channel attacks
- Remote attestation mechanisms based on TPM or other solutions and Digital Rights Management (DRM) standards
- Security threat modelling and penetration testing and Certification standards and compliance testing
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.
Are you creative and autonomous? Do you love the challenge of crafting the securest silicon and platforms possible? If so, we want to hear from you! Come, join our GPU Security Architecture team and help build the real-time, cost-effective computing platform driving our success across several exciting and quickly growing fields.
#ArchitectYourFuture
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s, master’s, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
- 8+ years of relevant work or research experience
- Experience with the ASIC design process and architecture of large SoCs or GPUs
- Programming and debugging fundamentals in C/C++, Verilog, ARM assembly, and Python or Perl scripting
- Ability to work effectively in a dynamic, customer-focused team with strong interpersonal skills
- Experience with system architecture for gaming, automotive, server, or AI platforms
- Experience with cryptography algorithms, standards, implementation, and application
- Knowledge of SoC security architecture, secure boot or measured boot, and ARM or RISC-V CPU security functionality
- Experience with mitigations against physical attacks, including fault injection and side-channel attacks
- Experience with remote attestation mechanisms using TPM or other solutions and DRM standards
- Experience with security threat modeling, penetration testing, certification standards, and compliance testing
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
